activity
20212025
most citedExplainable Risk Classification in Financial Reports

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2025

The Shape of Reasoning: Topological Analysis of Reasoning Traces in Large Language Models

Xue Wen Tan, Nathaniel Tan, Galen Lee +1

Evaluating the quality of reasoning traces from large language models remains understudied, labor-intensive, and unreliable: current practice relies on expert rubrics, manual annot…

cs.CL2024

SailCompass: Towards Reproducible and Robust Evaluation for Southeast Asian Languages

Jia Guo, Longxu Dou, Guangtao Zeng +3

In this paper, we introduce SailCompass, a reproducible and robust evaluation benchmark for assessing Large Language Models (LLMs) on Southeast Asian Languages (SEA). SailCompass e…

q-fin.RM2024★ 2 cited

Explainable Risk Classification in Financial Reports

Xue Wen Tan, Stanley Kok

Every publicly traded company in the US is required to file an annual 10-K financial report, which contains a wealth of information about the company. In this paper, we propose an…

cs.CL2023

AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach

Jia Guo, Liying Cheng, Wenxuan Zhang +3

Argument mining involves multiple sub-tasks that automatically identify argumentative elements, such as claim detection, evidence extraction, stance classification, etc. However, e…

cs.CL2023

Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction

Jia Guo, Stanley Kok, Lidong Bing

Document-level relation extraction (DocRE) predicts relations for entity pairs that rely on long-range context-dependent reasoning in a document. As a typical multi-label classific…

cs.CL2021

BiQUE: Biquaternionic Embeddings of Knowledge Graphs

Jia Guo, Stanley Kok

Knowledge graph embeddings (KGEs) compactly encode multi-relational knowledge graphs (KGs). Existing KGE models rely on geometric operations to model relational patterns. Euclidean…